Machine learning

Why combine Machine Learning with Process Mining?

Definitions

What is Articificial Intelligence?

AI must be able to think for itself, that is the essence of these technologies. It must be able to learn and adapt thanks to a multitude of data to surpass human intelligence. AI as such is often still in the R&D phase and what we call AI can often be compared to machine learning.

Artificial Intelligence illustration
Machine Learning Illustration

What is Machine Learning?

Machine learning (ML) is a set of technologies and algorithms. ML needs history or precise data to act or react. To illustrate this, Alexa is a good example. Alexa contains a voice recognition technology that allows it, from sounds, to associate them with an action to take. “For example, Alexa will recognize different sounds and associate them with an answer thanks to algorithms. This seems intelligent but there is in fact little learning here of the technology.

Machine Learning & Process Mining combination

Machine Learning associated with Process Mining is a way to put intelligence in the reading, visualization and analysis of processes as they are operated in everyday life.

Intelligent Process Mining

Intelligent Process Mining opportunities

There is a link between these two technologies: they need and feed on data to bring added value. This is why they give a new dimension to Process Mining which is called Intelligent Process Mining. It provides these opportunites:

Intelligent Process Mining benefits

Anticipate friction points and process anomalies

It is possible to foresee, according to a given context, a history, which will be the problems to come in the processes to better prevent them

Predict the next steps in the process

Predicting the next bottlenecks in a supply chain process, for example, makes it possible to increase or decrease the number of stocks or people needed to ensure the smooth running of the overall process.

Adjust the available resources during the process

It is possible to foresee, according to a given context, a history, which will be the problems to come in the processes to better prevent them

Recommend process evolutions to gain in performance and productivity

In a procure-to-pay process for example, when the supplier is known, it enables to shorten a process which is very time consuming.